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不完全信息下基于证据推理的竞争对手分析
引用本文:梁昌勇,张恩桥,戚筱雯,蔡美菊.不完全信息下基于证据推理的竞争对手分析[J].系统工程,2010(2).
作者姓名:梁昌勇  张恩桥  戚筱雯  蔡美菊
作者单位:合肥工业大学管理学院;
基金项目:国家自然科学基金资助项目(7063003);;国家“863”项目(2006AA04A126);;国家自然科学基金资助项目(70471046)
摘    要:针对不完全信息下竞争对手分析问题,本文提出一种基于证据推理的分析方法。该方法首先定义了正负相似度对竞争者进行比较,接着通过证据推理对含有未知信息的相似度进行合成排序,最后根据信息熵原理度量结论的客观可靠度。与本文提及的其他方法相比,该方法可以在信息不完全的情况下识别分析竞争对手并提供关于结论的客观可靠度,符合商业竞争的实际特点,具有较强的实用价值。文中的案例分析证实了该方法的有效性。

关 键 词:竞争对手分析  不完全情报信息  证据推理  正负相似度  

Analysis of Competitors Based on Evidential Reasoning under the Condition of Incomplete Information
LIANG Chang-yong,ZHANG En-qiao,QI Xiao-wen,LU Qing.Analysis of Competitors Based on Evidential Reasoning under the Condition of Incomplete Information[J].Systems Engineering,2010(2).
Authors:LIANG Chang-yong  ZHANG En-qiao  QI Xiao-wen  LU Qing
Affiliation:School of Management;Hefei University of Technology;Hefei 230009;China
Abstract:To solve the problem of analyzing of competitors with incomplete information,a new method based on evidential reasoning is proposed.First,the positive similarity degree and the negative similarity degree are defined to compare competitors.Then the similarity degree with incomplete information is combined to rank priority by evidential reasoning.Finally,the objective reliability on result is measured according to information entropy theory.Compared with other methods mentioned in the paper,the new method can...
Keywords:Analysis of Competitors  Incomplete Information  Evidential Reasoning  The Positive and Negative Similarity Degree  
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